Learning Lessons? Change in the Era of Globalization: Implications for Education and Training in Civil and Military Systems
Bibliographic record
Abstract
Globalization is often defined in terms of the merging of economies, global markets, and border-free trading. However, globalization is not a phase or a phenomenon limited to the economic sector-it is a process that touches on many other spheres of activity. In this article, I will first define the different aspects of globalization. Regardless of one's stand towards globalization, it seems clear that it is an inevitable and unstoppable process, one which has changed the concept of nation, the make-up of societies, and which affects people's identities, lives, and work. I will then define military education and training, and provide a brief overview of some of the new challenges facing military systems internationally. In addition, I will explore the implications for the Canadian education and training systems, both civil and military. Formal and informal education, professional development, training, and retraining can be considered key factors in enabling individuals to meet the challenges of a constantly changing 'global village.'
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".